| 基于Trace变换和支持向量机的车牌字符识别新方法 |
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| 引用本文： | 张博.基于Trace变换和支持向量机的车牌字符识别新方法[J].微型电脑应用,2014(2):9-13. |
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| 作者姓名： | 张博 |
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| 作者单位： | 沙师范学院电子信息工程系,长沙410100 |
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| 基金项目： | 2013年度湖南省教育厅科学研究项目资助（编号：13C1070） |
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| 摘 要： | 为了提高车牌上的字符识别准确率,提出一种结合Trace变换和支撑矢量机（SVM）的字符识别方法.在字符识别方面,以Trace变换方法提取字符特征,并运用支持向量机对字符进行模式分类.将算法应用到实际的车牌字符识别中,识别结果表明,这种方法在提高识别速度的同时,有效提高了字符的识别精度.
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| 关 键 词： | 车牌识别系统 字符识别 Trace变换 支持向量机 特征提取 |
A New License Plate Character Recognition Method Based on the Trace Transform and SVM |
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| Zhang Bo.A New License Plate Character Recognition Method Based on the Trace Transform and SVM[J].Microcomputer Applications,2014(2):9-13. |
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| Authors: | Zhang Bo |
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| Affiliation: | Zhang Bo( 1.Electronic Information Engineering Department, Changsha Normal University, Changsha410100, China;) |
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| Abstract: | To improve the recognition accuracy of the characters on car license plate,a novel method based on the Trace Transform and support vector machine （SVM） was proposed.In character recognition,the trace transform method is chosen to extract character features,and SVM classification is used as the method to identify characters.The result of vehicle license plate recognition demonstrated that this algorithm can offer higher prediction accuracy and less decisive time compared with other methods. |
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| Keywords: | License Plate Recognition System Character Recognition Trace Transformation Support Vector Machine Feature Extraction |
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